Google has 584 active AI-related job listings. The majority of these roles are focused on agents, representing 40% of the total, and serving infrastructure, at 26%. The most frequent technical tags include model_serving, agent_orchestration, and evals. Over the last 30 days, Google has added 413 new AI roles, a 105% increase compared to the preceding 30-day period.
Currently tracking 498 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$1030k (avg $233k).
Google currently has 586 active AI-related roles in our index. The most common open titles are: Software Engineer (5), AI Adoption Customer Engineer, Google Cloud (3), Conversational AI Consultant (2), Engineering Manager, Egregious Abuse Protection (2), Forward Deployed Engineer III, Generative AI, Google Cloud (2). Most positions are in Engineering and Product.
Google's active AI hiring is concentrated in: agents (43%), serving infrastructure (25%), application (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Google is hiring AI talent in: United States (376 roles), India (53 roles), Singapore (40 roles), Switzerland (20 roles).
Job postings at Google most frequently mention: Software Engineering, Algorithms & Data Structures, System Design, Computer Architecture, Machine Learning.
In the past 30 days, Google has posted 571 new AI-related roles. That is a +22% change versus the prior 30 days (469 → 571).
| Title | Stage | AI score |
|---|---|---|
| Staff Software Engineer, Model Quality Staff Software Engineer for Google Pics, an AI-powered visual editor, focusing on building and improving automated evaluation systems for generative AI models. The role involves establishing metrics, running evaluations, providing insights for model quality improvement, and creating tools to enhance the evaluation process, with a roadmap towards a 2026 launch. | Eval Gate | 8 |
| Technical Program Manager, Frontier Safety, Alignment and Collaboration, DeepMind Technical Program Manager for Frontier Safety, Alignment, and Collaboration at Google DeepMind. This role focuses on operational strategy and execution for safe and responsible AI development, bridging AI research with product deployment. Responsibilities include managing safety frameworks, implementing unified safety gates, coordinating evaluations for critical capability levels, and managing mitigation plans for model breaches. The role requires strong program management skills and an understanding of ML/AI safety and alignment principles. |
| Eval GatePost-train |
| 8 |
| Research Engineer, Benchmarking, Robotics, DeepMind Research Engineer focused on benchmarking foundation models for robotics. The role involves designing evaluation protocols, tooling, and frameworks to assess robot policies in both simulated and real-world environments. Key responsibilities include building infrastructure for large-scale evaluation, root-causing policy failures, establishing evaluation criteria for model releases, and innovating on hardware evaluation processes. The goal is to provide data-driven insights into technological readiness for robotics development. | Eval GateAgent | 8 |
| Senior Engineering Analyst, Workspace AI, Trust and Safety This role focuses on ensuring the safety and integrity of Workspace AI products by developing and implementing anti-abuse policies, strategies, and evaluation frameworks. It involves analyzing data, identifying safety issues, and collaborating with engineering and product teams to mitigate risks. | Eval GatePost-train | 7 |
| Technical Program Manager, Gemini Evals, DeepMind Technical Program Manager at Google DeepMind focused on Gemini Evals. The role involves collaborating with engineering and data science teams to design, integrate, and execute model evaluations, conduct loss analysis, and drive strategic goals for AI programs. Requires experience in leading engineering projects and understanding LLM evals, model training, or data science. | Eval GatePost-train | 7 |
| Privacy and Security Technical Assurance, Risk, Compliance and Integrity This role focuses on providing technical assurance and risk management for AI/ML systems within Google's Risk, Compliance and Integrity organization. The individual will be responsible for designing and executing testing frameworks for AI/ML and traditional security controls, leading cross-functional security testing initiatives, and advocating for AI security assurance. The role requires a deep understanding of AI/ML architectures, offensive security testing, threat modeling, and program management capabilities, operating as a critical second line of defense. | Eval Gate | 7 |
| AI Software Developer, Android XR, Application Compatibility AI Software Developer for Android XR, focusing on application compatibility and evaluation. The role involves building scalable execution frameworks and designing an automated evaluation framework using LLMs and computer vision to detect XR-specific issues. | Eval GateAgent | 7 |
| Senior Data Scientist, Core Ranking and AI Context Senior Data Scientist role focused on Core Ranking and AI Context Engineering for Google's key products like Search, AI Overview, and AI Mode. The role involves identifying quality and metric headroom, conducting analyses, applying AI methods, developing and automating evals and measurements to guide improvements, and partnering with engineering and product teams to drive system changes. | Eval Gate | 7 |